code: def triu(m, k=0):
      """
      Upper triangle of an array.
  
      Return a copy of an array with the elements below the `k`-th diagonal
      zeroed. For arrays with ``ndim`` exceeding 2, `triu` will apply to the
      final two axes.
  
      Please refer to the documentation for `tril` for further details.
  
      See Also
      --------
      tril : lower triangle of an array
  
      Examples
      --------
      >>> np.triu([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1)
      array([[ 1,  2,  3],
             [ 4,  5,  6],
             [ 0,  8,  9],
             [ 0,  0, 12]])
  
      >>> np.triu(np.arange(3*4*5).reshape(3, 4, 5))
      array([[[ 0,  1,  2,  3,  4],
              [ 0,  6,  7,  8,  9],
              [ 0,  0, 12, 13, 14],
              [ 0,  0,  0, 18, 19]],
             [[20, 21, 22, 23, 24],
              [ 0, 26, 27, 28, 29],
              [ 0,  0, 32, 33, 34],
              [ 0,  0,  0, 38, 39]],
             [[40, 41, 42, 43, 44],
              [ 0, 46, 47, 48, 49],
              [ 0,  0, 52, 53, 54],
              [ 0,  0,  0, 58, 59]]])
  
      """
      m = asanyarray(m)
      mask = tri(*m.shape[-2:], k=k - 1, dtype=bool)
  
      return where(mask, zeros(1, m.dtype), m)
  
imports: import functools
  import operator
  from numpy.core.numeric import asanyarray, arange, zeros, greater_equal, multiply, ones, asarray, where, int8, int16, int32, int64, intp, empty, promote_types, diagonal, nonzero, indices
  from numpy.core.overrides import set_array_function_like_doc, set_module
  from numpy.core import overrides
  from numpy.core import iinfo
  from numpy.lib.stride_tricks import broadcast_to
label_desc: Use image node_id 12 for calling a global function with example usage: triu(m, k) and returns: where